Hyper-relational knowledge graphs (HKGs) extend standard knowledge graph...
Large Language Models (LLMs) have taken Knowledge Representation – and t...
Unsupervised commonsense reasoning (UCR) is becoming increasingly popula...
Large-scale pre-trained language models (PLMs) such as BERT have recentl...
In this paper, we release data about demographic information and outlier...
Knowledge graphs (KGs) have become effective knowledge resources in dive...
As an important variant of entity alignment (EA), multi-modal entity
ali...
We investigate the knowledge graph entity typing task which aims at infe...
In knowledge graph completion (KGC), predicting triples involving emergi...
Business Knowledge Graph is important to many enterprises today, providi...
We present a system for knowledge graph population with Language Models,...
Multi-modal aspect-based sentiment classification (MABSC) is an emerging...
Commonsense knowledge about everyday concepts is an important asset for ...
Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...
Knowledge Graph (KG) and its variant of ontology have been widely used f...
Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly
ch...
Knowledge Extraction (KE) which aims to extract structural information f...
Knowledge graph (KG) reasoning is becoming increasingly popular in both
...
In the search for knowledge graph embeddings that could capture ontologi...
Incorporating external knowledge to Visual Question Answering (VQA) has
...
External knowledge (a.k.a side information) plays a critical role in
zer...
Zero-shot learning (ZSL) which aims at predicting classes that have neve...
Zero-shot Learning (ZSL), which aims to predict for those classes that h...
Zero-shot learning (ZSL) is a popular research problem that aims at
pred...
Reusing existing datasets is of considerable significance to researchers...
Transfer learning aims at building robust prediction models by transferr...
Commonsense knowledge about object properties, human behavior and genera...
Commonsense knowledge about object properties, human behavior and genera...
Machine learning explanation can significantly boost machine learning's
...